code: def test_bandreject_filtering():
      audio = torch.randn(2000)
      sr = 8000
      ret = bandreject_filtering(audio, sr, center_freq=2000, Q=0.707)
  
file_path: espnet/test/espnet2/layers/test_augmentation.py
imports: import pytest
  import torch
  from espnet2.layers.augmentation import DataAugmentation, bandpass_filtering, bandreject_filtering, clipping, contrast, corrupt_phase, deemphasis, equalization_filtering, highpass_filtering, lowpass_filtering, pitch_shift, polarity_inverse, preemphasis, reverse, speed_perturb, time_stretch
label_desc: Use image node_id 4 for calling a global function with example usage: test_bandreject_filtering() without return types